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AfroLM vs SabiYarn-125M

A verified, side-by-side comparison. Both records are status-checked by Wycord, so you are comparing what each actually offers today, not a stale listing.

AfroLMSabiYarn-125M
Category
AI Resources
AI Resources
Type
LLM
LLM
Country
🌍 Pan-African
🇳🇬 Nigeria
Docs status
Docs live
Docs live
Licensing
Pricing
Free / open weights
Open weights
Verified
Verified
Unverified
Last verified
10 Oct 2026
10 Oct 2026
Tags
nlp, african-languages, masked-language-model, active-learning, data-efficient
yoruba, hausa, igbo, nigerian-languages, gpt
Links
Website Docs GitHub
Website Docs
Summary
A multilingual masked language model pretrained from scratch on 23 African languages using a self-active learning framework, outperforming AfriBERTa, mBERT and XLMR-base on NER and sentiment tasks. Created by Bonaventure Dossou and collaborators, published at SustaiNLP/EMNLP 2022.
SabiYarn-125M is a 125M-parameter decoder-only foundation model pretrained on Nigerian-language text, the first in the SabiYarn series. It supports English, Yoruba, Hausa, Igbo and Nigerian Pidgin plus Fulfulde, Efik and Urhobo, with fine-tuned variants for translation, NER, sentiment and diacritization. It was built by Aletheia.ai Research Lab and presented at the AfricaNLP 2025 workshop.

AfroLM vs SabiYarn-125M at a glance

AfroLM and SabiYarn-125M are both listed under LLM in Wycord's AI Resources index.

AfroLM is based in Pan-African and SabiYarn-125M in Nigeria.

Both currently show the status "Docs live".

On access, both are marked "No approval needed".

Over the last 30 days Wycord's probes measured 100% uptime for AfroLM (36 checks) and 100% for SabiYarn-125M (36 checks).

Average response time on live probes was 338 ms for AfroLM and 151 ms for SabiYarn-125M.

Uptime and latency come from Wycord's own probes of each resource's website, documentation and repository, run every six hours.

How they differ

  • Pricing: AfroLM, Free / open weights; SabiYarn-125M, Open weights.
  • Country: AfroLM, Pan-African; SabiYarn-125M, Nigeria.
  • Verification: AfroLM, Verified; SabiYarn-125M, Unverified.
  • Average latency: AfroLM, 338 ms; SabiYarn-125M, 151 ms.

Topics

Only AfroLM: nlp, african-languages, masked-language-model, active-learning, data-efficient.

Only SabiYarn-125M: yoruba, hausa, igbo, nigerian-languages, gpt.

Common questions

Which has better uptime, AfroLM or SabiYarn-125M?
They are level at 100% over the last 30 days.
Do AfroLM or SabiYarn-125M need approval before use?
Both are marked "No approval needed".
Is the documentation for AfroLM and SabiYarn-125M working?
Both show "Docs live" at the last check.
Where are AfroLM and SabiYarn-125M based?
AfroLM is based in Pan-African; SabiYarn-125M is based in Nigeria.

More comparisons

Full details: AfroLMFull details: SabiYarn-125M